Check out what machine learning can do when implemented by Hospital administrators for their operational services. We used historical data to test out and got results that could turn around ROIs for many hospitals suffering loses today

Large amounts of antibiotics used for human therapy result in the selection of pathogenic bacteria resistant to multiple drugs, creating a burden on medical care in hospitals, especially for patients admitted to intensive care units (ICU). Employing Machine learning techniques and building models, better approaches and preventive ways can thus be introduced to lower mortality rates & costs

Diabetes is a major public health problem in the world. The total number of diabetic patients is expected to soar to 366 million in 2030.

Claims management requires different levels of check before a claim like Death, Total or Permanent Disability, Hospitalization etc. can be approved and a payment can be made.

Build a predictive model that: - Accurately classifies risk using an automated approach - Makes it quicker and less labor intensive for new and existing customers to get a quote while maintaining privacy boundaries.